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A Wind-Noise Suppressor with SNR Based Wind-Noise Detection and Speech-Wind Discrimination

Masanori KATO, Akihiko SUGIYAMA

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Summary :

A wind-noise suppressor with SNR based wind-noise detection and speech-wind discrimination is proposed. Wind-noise detection is performed in each frame and frequency based on the power ratio of the noisy speech and an estimated stationary noise. The detection result is modified by speech presence likelihood representing spectral smoothness to eliminate speech components. To suppress wind noise with little speech distortion, spectral gains are made smaller in the frame and the frequency where wind-noise is detected. Subjective evaluation results show that the 5-grade MOS for the proposed wind-noise suppressor reaches 3.4 and is 0.56 higher than that by a conventional noise suppressor with a statistically significant difference.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.10 pp.1638-1645
Publication Date
2018/10/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E101.A.1638
Type of Manuscript
PAPER
Category
Digital Signal Processing

Authors

Masanori KATO
  NEC Corporation
Akihiko SUGIYAMA
  NEC Corporation,Tokyo Metropolitan University

Keyword